Cybernetics and systems theory Books

Book SynopsisThis volume is part of collection of contributions devoted to analytical and experimental techniques of dynamical systems, presented at the 15th International Conference “Dynamical Systems: Theory and Applications”, held in Łódź, Poland on December 2-5, 2019. The wide selection of material has been divided into three volumes, each focusing on a different field of applications of dynamical systems.The broadly outlined focus of both the conference and these books includes bifurcations and chaos in dynamical systems, asymptotic methods in nonlinear dynamics, dynamics in life sciences and bioengineering, original numerical methods of vibration analysis, control in dynamical systems, optimization problems in applied sciences, stability of dynamical systems, experimental and industrial studies, vibrations of lumped and continuous systems, non-smooth systems, engineering systems and differential equations, mathematical approaches to dynamical systems, and mechatronics.Table of ContentsNonlinear modelling and control of self-balancing human transporter (Makkar).- Nonlinear tourist flows in Barcelona (Trullols).- Convergence of dual infinity series (Klimenda).- Full spectrum analysis for studying the backward whirl in accelerated rotor systems (Alshudeifat).- Switched Reluctance Motor dynamic eccentricity modelling (Lorencki).- Harmonic transfer path analysis of a wine refrigerator (Hörtnagel).- Risk related prediction for recurrent stroke and post-stroke epilepsy using Fractional Fourier Transform analysis of EEG signals (Dulf).- Chaos, bifurcations and strange attractors in environmental radioactivity dynamics of some geosystems (Ternovsky).- Dynamics of chains as a tool to study thermomechanical properties of proteins (Weber).- Evaluation of the crane’s actuators strength based on the results obtained from dynamics model (Urbaś).- Nonlinear dynamics of atomic and molecular systems in an electromagnetic field: Deterministic chaos and strange attractors (Glushkov).- Deterministic chaos, bifurcations and strange attractors in nonlinear dynamics of relativistic backward-wave tube (Ternovsky).- Detection of chaotic behavior of the dynamical system using methods of deformable active contours (Ruchkin).- Dynamics of sensing element of micro- and nanoelectromechanical sensors as anisotropic size-dependent plate (Barulina).- Dynamic analysis and damage of composite layered plates reinforced by unidirectional fibers subjected low velocity impact (Soukup).- Identification of nonlinear joint interface parameters using instantaneous power flow balance approach (Rajan).- Numerical procedure for sensitivity analysis of hybrid systems (Pytlak).- Asymptotic stability of fractional variable order discrete-time equations with terms of convolution operators (Mozyrska).- Dynamics of circular plates under selected heat loadings (Doneva).- A Rulkov neuronal model with Caputo fractional variable-order differences of convolution type (Mozyrska).- Electrostatically actuated initially curved micro beams: analytical and finite element modelling (Mozhgova).- Numerical and analytical investigation of chatter suppression by parametric excitation (Dohnal).- Nonlinear study of a pneumatic artificial muscle (PAM) under superharmonic resonance condition using method of multiple scales (Kalita).- Two-mode long-wave low-frequency approximations for anti-plane shear deformation of a high-contrast asymmetric laminate (Kaplunov).- A study on the coefficient of restitution effect on single-sided vibro-impact nonlinear energy sink (Saeed).

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Book SynopsisThis volume is part of collection of contributions devoted to analytical and experimental techniques of dynamical systems, presented at the 15th International Conference “Dynamical Systems: Theory and Applications”, held in Łódź, Poland on December 2-5, 2019. The wide selection of material has been divided into three volumes, each focusing on a different field of applications of dynamical systems.The broadly outlined focus of both the conference and these books includes bifurcations and chaos in dynamical systems, asymptotic methods in nonlinear dynamics, dynamics in life sciences and bioengineering, original numerical methods of vibration analysis, control in dynamical systems, optimization problems in applied sciences, stability of dynamical systems, experimental and industrial studies, vibrations of lumped and continuous systems, non-smooth systems, engineering systems and differential equations, mathematical approaches to dynamical systems, and mechatronics.Table of ContentsOn the spinning motion of a disc under the influence a gyrostatic moment (Gamiel).- Suppression of impact oscillations in a railway current collection system with an additional oscillatory system (Nishiyama).- On Qualitative Analysis of Lattice Dynamical System of Two- and Three-Dimensional Biopixels Array: Bifurcations and Transition to Chaos (Martsenyuk).- Response sensitivity of damper-connected adjacent structural systems subjected to fully non-stationary random excitations (Genovese).- Analysis of switching strategies for the optimization of periodic chemical reactions with controlled flow-rate (Zuyev).- Quaternion based free-floating space manipulator dynamics modeling using the dynamically equivalent manipulator approach (Jarzębowska).- Slosh analysis on a full car model with SDRE control and hydraulic damper (Balthazar).- A comparison of the common types of nonlinear energy sinks (Saeed).- Stability of three wheeled narrow vehicle (Weigel-Milleret).- Testing and analysis of vibrations of a tension transmission with a thermally sealed belt (Szymański).- Modeling and experimental tests on motion resistance of double-flange rollers of rubber track systems due to sliding friction between the rollers and guide lugs of rubber tracks (Chołodowski).- Structural dynamic response of the coupling between transmission lines and tower under random excitation (Machado).- Experimental assessment of the test station support structure rigidity by the vibration diagnostics method (Šmeringaiová).- Experimental dynamical analysis of a mechatronic analogy of the human circulatory system (Olejnik).- Robust design of inhibitory neuronal networks displaying rhythmic activity (Taylor).- Nonlinear dynamics of the industrial city's atmospheric ventilation: New differential equations model and chaos (Buyadzhi).- Biomechanical analysis of different foot morphology during standing on a dynamic support surface (Shu).- Comparison of various fractional order controllers on a poorly damped system (Birs).- Asymptotic analysis of submerged spring pendulum motion in liquid (Amer).- Parametric identification of non linear structures using Particle Swarm Optimization based on power flow balance criteria (Rajan).- Vibration and buckling of laminated plates of complex form under in-plane uniform and non-uniform loading (Linnik).- Dynamical systems and stability in fractional solid mechanics (Beda).- Stability of coupled systems of stochastic Cohen-Grossberg neural networks with time delays, impulses and Markovian switching (Tojtovska).- Stability of steady states with regular or chaotic behaviour in time (Mikhlin).- Modelling of torsional vibrations in a motorcycle steering system (Dębowski).- Free vibration frequencies of simply supported bars with variable cross section (Szlachetka).- On dynamics of a rigid block on visco-elastic foundation (Garziera).

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Book SynopsisThis book covers a variety of topics in the field of industrial engineering, with a special focus on research and industrial applications aimed at both improving quality of processes and products and contributing to a sustainable economy. Based on a set of papers presented at the 1st International Conference “Innovation in Engineering”, ICIE, held in Guimarães, Portugal, on June 28–30, 2021, it focuses on innovative technologies associated with and strategies for the development of Industry 4.0. The chapters discuss new ways to improve industrial production and supply chain management by applying mathematical and computational methods. They also cover important issues relating to sustainability, education, and collaborations between industry and universities, and national developments. This book, which belongs to a three-volume set, provides engineering researchers and professionals with a timely overview and extensive information on trends and technologies behind the current and future developments of Industry 4.0. Table of ContentsMachining process time series data analysis with a decision support tool.- Machining process time series data analysis with a decision support tool.- Stainless steel deep hole drilling with EDM.- Experimental Research of the Tribological Properties of D-gun Sprayed WC – Co Coatings.

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Book SynopsisThis book presents state-of-the-art research results from leading electronic design automation (EDA) researchers on automated approaches for generating cyber-secure, smart hardware. The authors first provide brief background on high-level synthesis principles and motivate the need for secure design during behavioral synthesis. Then they provide readers with synthesis techniques for six automated security solutions, namely, hardware obfuscation, hardware Trojan detection, IP watermarking, state encoding, side channel attack resistance, and information flow tracking. Provides a single-source reference to behavioral synthesis for hardware security; Describes automatic synthesis techniques for algorithmic obfuscation, using code transformations; Includes behavioral synthesis techniques for intellectual property protection. Table of ContentsIntroduction.- Background.- Techniques for algorithm-level obfuscation during high-level synthesis.- High-level synthesis of key based obfuscated RTL datapaths.- RTL Hardware IP protection Using Key-Based Control and Data Flow Obfuscation.- Empirical Word-Level Analysis of Arithmetic Module Architectures for Hardware Trojan Susceptibility.- Behavioral synthesis techniques for intellectual property protection.- Exploring Low Cost Optimal Watermark for Reusable IP Cores During High Level Synthesis.- High-Level Synthesis for Side-Channel Defense.- On state encoding against power analysis attacks for finite state controllers.- Examining the consequences of high-level synthesis optimizations on power side-channel.- Towards a timing attack aware high-level synthesis of integrated circuits.- High-Level Synthesis with Timing-Sensitive Information Flow Enforcement.- Mitigating information leakage during critical communication using S*FSM.- Shielding Heterogeneous MPSoCs From Untrustworthy 3PIPs Through Security-Driven Task Scheduling.- Securing industrial control system with high level synthesis.- Conclusions and open research problems.

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Book SynopsisThis book systematically presents the consolidated findings of the phenomenon of self-organization observed during the onset of thermoacoustic instability using approaches from dynamical systems and complex systems theory. Over the last decade, several complex dynamical states beyond limit cycle oscillations such as quasiperiodicity, frequency-locking, period-n, chaos, strange non-chaos, and intermittency have been discovered in thermoacoustic systems operated in laminar and turbulent flow regimes. During the onset of thermoacoustic instability in turbulent systems, an ordered acoustic field and large coherent vortices emerge from the background of turbulent combustion. This emergence of order from disorder in both temporal and spatiotemporal dynamics is explored in the contexts of synchronization, pattern formation, collective interaction, multifractality, and complex networks. For the past six decades, the spontaneous emergence of large amplitude, self-sustained, tonal oscillations in confined combustion systems, characterized as thermoacoustic instability, has remained one of the most challenging areas of research. The presence of such instabilities continues to hinder the development and deployment of high-performance combustion systems used in power generation and propulsion applications. Even with the advent of sophisticated measurement techniques to aid experimental investigations and vast improvements in computational power necessary to capture flow physics in high fidelity simulations, conventional reductionist approaches have not succeeded in explaining the plethora of dynamical behaviors and the associated complexities that arise in practical combustion systems. As a result, models and theories based on such approaches are limited in their application to mitigate or evade thermoacoustic instabilities, which continue to be among the biggest concerns for engine manufacturers today. This book helps to overcome these limitations by providing appropriate methodologies to deal with nonlinear thermoacoustic oscillations, and by developing control strategies that can mitigate and forewarn thermoacoustic instabilities. The book is also beneficial to scientists and engineers studying the occurrence of several other instabilities, such as flow-induced vibrations, compressor surge, aeroacoustics and aeroelastic instabilities in diverse fluid-mechanical environments, to graduate students who intend to apply dynamical systems and complex systems approach to their areas of research, and to physicists who look for experimental applications of their theoretical findings on nonlinear and complex systems.Table of Contents1 Introduction 1.1 Introduction to thermoacoustic instability and its consequences 1.2 Mechanisms that cause thermoacoustic instability 1.2.1 Flame surface area modulations 1.2.2 Equivalence ratio fluctuations 1.2.3 Coherent structures in the flow 1.2.4 Entropy waves 1.3 Mechanisms that damp thermoacoustic instability 1.4 Current approaches: Acoustic oscillations driven by unsteady combustion, network modelling, and eigenvalues 1.5 Why do we need a nonlinear description? 1.6 Nonlinearities in a thermoacoustic system 1.7 Thermoacoustic stability analysis: Acoustic vs dynamical systems approach 1.8 Beyond limit cycles 1.9 Thermoacoustic instability in turbulent combustors 1.10 Transition to thermoacoustic instability in turbulent reacting flow systems 1.10.1 Is combustion noise deterministic or stochastic? 1.10.2 Studying the transition to thermoacoustic instability in “noisy” systems 1.10.3 Noise induced transition, stochastic bifurcation and Fokker-Planck equation 1.10.4 Is ‘signal plus noise’ paradigm the right way to go about? 1.11 Alternate perspectives 1.11.1 Combustion noise is chaos 1.11.2 Intermittency presages the onset of thermoacoustic instability 1.11.3 Multifractal description of combustion noise and its transition to thermoacoustic instability 1.11.4 Complex networks 1.11.5 On the importance of being nonlinear 1.11.6 Reductionist vs complex systems approach 1.12 References 2 Introduction to Dynamical Systems Theory 2.1 Dynamical system 2.1.1 Conservative and dissipative dynamical systems 2.1.2 Modeling dynamical systems as discrete and continuous functions of time 2.2 Linear approximation of one-dimensional systems 2.2.1 Two-dimensional linear systems 2.3 Bifurcations and their classification 2.3.1 Saddle-node bifurcation 2.3.2 Transcritical bifurcation 2.3.3 Pitchfork bifurcation 2.3.4 Hopf bifurcation 2.4 Signals and their classification 2.4.1 Limit cycle oscillations 2.4.2 Period-= oscillations 2.4.3 Quasiperiodic oscillations 2.4.4 Chaotic oscillations 2.4.5 Difference between strange chaotic, strange nonchaotic, and chaotic nonstrange attractors 2.4.6 Intermittency 2.5 Routes to chaos 2.5.1 Period-doubling route to chaos 2.5.2 Quasiperiodic route to chaos 2.5.3 Intermittency route to chaos 2.6 Phase space reconstruction 2.6.1 Selection of optimum time delay () 2.6.2 Selection of the minimum emending dimension (d) 2.7 Poincaré map (or Poincaré section or return map) 2.8 Recurrence plots 2.8.1 Cross recurrence plots 2.8.2 Joint recurrence plot 2.8.3 Recurrence quantification analysis 2.9 References 3 Bifurcation to Limit Cycle Oscillations in Laminar Thermoacoustic Systems 3.1 A brief history of Rijke-type thermoacoustic systems 3.2 Bifurcation characteristics of a deterministic thermoacoustic system 3.3 Noise-induced transition, triggering, and stochastic bifurcation to limit cycle 3.3.1 Effect of noise on hysteresis (or bistability) of a subcritical Hopf bifurcation 3.3.2 Stochastic (or P) bifurcation 3.3.3 Triggering in thermoacoustic systems 3.4 References 4 Thermoacoustic Instability: Beyond Limit Cycle Oscillations 4.1 Bifurcation of thermoacoustic instability beyond the state of limit cycle 4.2 Other dynamical states of thermoacoustic instability 4.2.1 Strange nonchaos 4.2.2 Intermittency 4.3 Routes to chaos for thermoacoustic oscillations 4.3.1 Period-doubling route to chaos 4.3.2 Ruelle-Takens-Newhouse route to chaos 4.3.3 Intermittency route to chaos 4.4 Nonlinear nature of flame-acoustic interactions 4.5 References 5 Thermoacoustic Instability is Self-Organization in a Complex System 5.1 Examples of complex systems 5.2 Nonlinearity: The reductionist’s nightmare 5.3 Emergence 5.4 Pattern formation 5.5 Order emerging from chaos 5.6 Onset of thermoacoustic instability in turbulent combustors 5.7 Fractals and multifractals 5.8 Collective interaction in complex systems 5.9 Complex networks 5.10 Why should we use complex systems approach to study thermoacoustic instability in turbulent combustors? 5.11 Practical applications 5.12 References 6 Intermittency - A State Precedes Thermoacoustic Instability and Blowout in Turbulent Combustors 6.1 Classification of sound waves generated by turbulent flame in a combustor 6.2 What is combustion noise? 6.2.1 Phase space dynamics of acoustic pressure fluctuations during combustion noise 6.2.2 0-1 test for chaos 6.3 What is thermoacoustic instability? 6.4 Transition from combustion noise to thermoacoustic instability in turbulent combustors 6.4.1 Reformulating the onset of thermoacoustic instability as a loss of chaos 6.4.2 Intermittency route to thermoacoustic instability 6.4.3 Characteristics of the intermittency signal 6.4.4 Bifurcation analysis of intermittency route to thermoacoustic instability 6.5 Phase space and recurrence analysis of the intermittency route to thermoacoustic instability 6.6 Intermittency route to flame blowout 6.7 Type of intermittency en-route to thermoacoustic instability and its scaling laws 6.8 References 7 Spatiotemporal Dynamics of Flow, Flame, and Acoustic Fields during the Onset of Thermoacoustic Instability 7.1 Pattern formation 7.2 The emergence of patterns during the onset of thermoacoustic instability 7.3 Collective interaction of large-scale vortices during thermoacoustic instability 7.4 References 8 Synchronization of Self-excited Acoustics and Turbulent Reacting Flow Dynamics 8.1 Basics of synchronization of coupled oscillators 8.2 Mutual synchronization of the acoustic and turbulent reactive flow fields during the transition to thermoacoustic instability 8.2.1 Coupled behavior of the acoustic field and the heat release rate field in a turbulent combustor 8.2.2 Synchronization of the acoustic pressure and the global heat release rate signals during the onset of thermoacoustic instability 8.2.3 Spatiotemporal synchronization of the turbulent reacting flow field with the duct acoustics 8.3 Forced synchronization of limit cycle oscillations in thermoacoustic systems 8.3.1 Forced response of the self-excited acoustic field 8.3.2 Forced synchronization of limit cycle oscillations in a horizontal Rijke tube 8.3.3 Characteristics of the acoustic field and the heat release rate field during forced synchronization in a laminar combustor 8.3.4 Forced synchronization of multi-frequency (quasiperiodic and chaotic) thermoacoustic oscillations 8.3.5 Characteristics of forced synchronization of limit cycle oscillations in turbulent combustors 8.3.6 Forced synchronization of self-excited oscillations in the hydrodynamic field 8.4 References 9 Model for Intermittency Route to Thermoacoustic Instability 9.1 Governing equations for the one-dimensional fluid flow. 9.1.1 Continuity equation 9.1.2 Momentum equation 9.1.3 Energy equation 9.1.4 Linearized governing equations for the acoustic field 9.2 Model for intermittency route to thermoacoustic instability 9.3 References 10 Multifractal Analysis of a Turbulent Thermoacoustic System 10.1 Fractals 10.2 The Hurst exponent and fractal properties 10.3 Multifractals 10.4 Methods of multifractal analysis 10.4.1 Multifractal detrended fluctuation analysis (MFDFA) 10.4.2 Box-counting method 10.5 Combustion noise is multifractal and thermoacoustic instability is a loss of multifractality 10.6 Multifractal analysis during the transition to a flame blowout 10.7 Multifractal analysis of spatial flame structures during stable and unstable operation 10.8 References 11 Complex Network Approach to Thermoacoustic Systems 11.1 An introduction to complex networks 11.2 Measures of complex networks 11.3 Types of complex networks 11.3.1 Regular networks 11.3.2 Random network 11.3.3 Small-world networks 11.3.4 Scale-free networks 11.4 Complex network approach to study temporal dynamics of thermoacoustic systems 11.4.1 Combustion noise is scale-free 11.4.2 The onset of thermoacoustic instability as a transition from scale-free to regular networks 11.4.3 Small-world-like behavior of thermoacoustic instability using cycle network 11.4.4 Recurrence network topologies of different dynamical states of a thermoacoustic system 11.4.5 Directional dependence between the coupled acoustic pressure and heat release rate fluctuations using recurrence networks 11.5 Complex network approach to study spatial dynamics of thermoacoustic systems 11.5.1 Unweighted spatial networks of the time-averaged flow field using the Pearson coefficient 11.5.2 Weighted time-varying spatial networks obtained though acoustic power and vorticity fields 11.5.3 Weighted time-varying turbulence networks obtained though vorticity fields 11.6 References 12 Early Warning and Mitigation Strategies for Thermoacoustic Instability 12.1 Precursors for the onset of impending thermoacoustic instability . . . 418 12.2 Traditional approaches for passive and active controls of thermoacoustic instability 12.3 Control of thermoacoustic instability using methodologies from synchronization theory 12.3.1 Mitigation of thermoacoustic instability using amplitude death phenomenon 12.3.2 Open-loop control of thermoacoustic instability through asynchronous quenching 12.4 Identification of critical regions in the spatial reacting field 12.5 References 13 Oscillatory Instabilities in Other Fluid Systems 13.1 Aeroacoustic instabilities 13.2 Aeroelastic instabilities 13.3 References 14 Summary and Perspective 14.1 Temporal analysis 14.2 Spatiotemporal analysis 14.3 Mitigation Strategies 14.3.1 Evasion 14.3.2 Strategies based on the framework of synchronization theory 14.3.3 Smart passive control 14.4 Future issues 14.5 Final thoughts 14.6 References

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Book SynopsisThis book offers an overview of current and recent methods for the analysis of the nonstationary processes, focusing on cyclostationary systems that are ubiquitous in various application fields. Based on the 13th Workshop on Nonstationary Systems and Their Applications, held on February 3-5, 2020, in Grodek nad Dunajcem, Poland, the book merges theoretical contributions describing new statistical and intelligent methods for analyzing nonstationary processes, and applied works showing how the proposed methods can be implemented in practice and do perform in real-world case studies. A significant part of the book is dedicated to nonstationary systems applications, with a special emphasis on those in condition monitoring. Table of Contents.-

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Book SynopsisThis book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain.Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.

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Book SynopsisThis book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results. The above-mentioned conference was held virtually, October 8 – 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater appreciation for the broad scope of CSS.Table of ContentsDale Brearcliffe and Andrew Crooks: Creating Intelligent Agents: Combining Agent-Based Modeling with Machine LearningClaudius Gros: Envy splits societies into a lower and a upper classMarie Alaghband and Ivan Garibay: Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling ApproachAndrew Collins: Comparing Agent-Based Modeling to Cooperative Game Theory and Human BehaviorPeter Chew and Jonathan Chew: Analyzing transnational narratives in Twitter: an unsupervised approach using PARAFACSantiago Núñez-Corrales, Milton Friesen, Srikanth Mudigonda, Rajesh Venkatachalapathy and Jeffrey Graham: In-Silico models with greater fidelity to social processes: towards ABM platforms with realistic concurrencySaeed Langarudi, Carlos Silva and Sam Fernald: Dynamics of Information Perception in Management of CommonsH. Van Dyke Parunak: Psychology from StigmergyEce Mutlu, Ivan Garibay and Amirarsalan Rajabi: CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on TwitterJiin Jung, Aaron Bramson, William Crano, Scott Page and John Miller: Cultural Drift, Indirect Minority Influence, Network Structure and Their Impacts on Cultural Change and DiversityLeticia Izquiero, Gamaliel Palomo, Arnaud Grignard, Luis Alonso, Mario Siller and Kent Larson: An agent-based model to evaluate the perception of safety in informal settlementsWilliam Leibzon: Study of Altruism as a Behavioral Trait in Game Theory Network Dynamics with Prisoner Dilemma GamesMatthew Koehler, David Slater, Garry Jacyna and James Thompson: Analyzing the potential impact of nonpharmaceutical interventions on the spread of COVID-19 (COVID-19 work in progress)Shigeaki Ogibayashi: An Agent-Based Model of Infectious Diseases that Incorporates the Role of Immune Cells and AntibodiesNicholas Willems, Cale Reeves, Vivek Shastry and Varun Rai: Heterogeneity in populations and behaviors: An agent-based model of the social spread of COVID-19 Vivek Shastry, Cale Reeves, Nicholas Willems and Varun Rai: Work In Progress: COVID-19 Policy Evaluation (CoPE) Tool: An agent-based model for ex-ante evaluation of policy designs and behavioral responses to COVID-19Amirarsalan Rajabi, Alexander Mantzaris, Ece Mutlu and Ivan Garibay: Investigating dynamics of COVID-19 spread and containment with agent-based modelingYoungsun Hwang, Joseph Immormino and Glenn-Iain Steinback: Purchasing Power to the People: An Agent-Based Simulation of Pandemic Economic RecoveryJacob Kelter, Andreas Bugler and Uri Wilensky: Agent-based models of Quadratic VotingBrian Tivnan, Carl Burke, Matthew Koehler, Matthew Mcmahon And Jason Veneman: Towards a model of the national market system: fragmented and heterogenous venuesHanin Alhaddad, Nisha Baral and Ivan Garibay: Online Rejection Influence on Behavior Deviancy and Radicalization: An Agent-Based Model ApproachNarjes Sadeghiamirshahidi, Anuj Mittal and Caroline Krejci: An agent-based model of digitally-mediated farmer transportation collaborationGraham Sack: Geometries of Desire: Simulating Rene Girard’s Mimetic TheoryMehdi Moghadam Manesh, Saeed Langarudi and Birgit Kopainsky: Can Institutionalization Prevent the Depletion of Groundwater Resources?

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Book SynopsisBlockchain is a technology that tends to be misunderstood by managers that need to make technology acquisition decisions. This book will provide readers with a basic understanding of blockchain and distributed ledger technology (DLT), the technologies that underpin it, and the technologies DLT is built upon. The book is purposefully not a book on how to code or explore other technical aspects of blockchain (other than the fundamentals). Rather, it provides managers with the basic understanding of the architectures and consensus algorithms, how they work, the design trade-offs of each architecture type, and what problems and use cases the core characteristics of DLT are best suited to solve ─ providing business managers with the core information they need to ask the right questions of vendors when making business value assessments and acquisition decisions. Table of ContentsDLT Types and Design Trade-offs.- Learning Objectives.- Proof-of-work.- Proof-of-stake.- Proof-of-storage.- Proof-of-authority.- Directed Acyclic Graph (DAG): AKA “The Tangle”.- Hash and Merkle Trees.- Byzantine Fault Tolerance.- Mining and Making Money.- Power Consumption.- Understanding the Fuss.- Bitcoin Demand History.- Stablecoins.- Use Cases and Applications.- Global Activity – Investment and Projects.- Which Use Cases Are Getting the Attention?.- Standards: IEEE 2418 and ISO/TC 307.- Securing IoT.- Questions for Managers to Ask.- Examples: Appliance Service Plan; Emobility; Utility Metering.

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Book SynopsisThis book offers a unique compendium of the authors´ own research on the use of theoretical stability analysis, showing how to take advantage of local stability design and ultimate boundedness for practical robot control. It addresses researchers and postgraduate students dealing with control theory, particularly with nonlinear systems. Thanks to the numerous worked examples, it could also be used as a textbook in postgraduate courses.Trade Review“The book is stimulating and addressed to a large spectrum of specialists (mechanical, electrical, control engineers and applied mathematicians working in rational mechanics, differential equations and control theory). It can be approached successfully by graduates and post-graduates of the aforementioned fields.” (Vladimir Răsvan, zbMATH 1489.93001, 2022)Table of ContentsA General Overview of Robot Manipulators.- Position, Orientation and Velocity of Rigid Robot Manipulators.- Dynamics of Rigid Robot Manipulators.- Mathematical Background.- Common Control Approaches for Robot Manipulators.

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Book SynopsisThis book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own? The author proposes a coherent conceptual framework with which these questions can be rigorously addressed. Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo’s recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework. The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science. Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science. Trade Review“Readers are taken on a journey where they will discover step-by-step methodologies for data-driven research. Judiciously, each key concept of data science is concisely defined, and examples and the when, why, and how to use them are provided. … I fully recommend it.” (Thierry Edoh, Computing Reviews, February 7, 2023)Table of ContentsPreface.- Chapter 1. Introduction.- Chapter 2. Inductivism.- Chapter 3. Phenomenological Science.- Chapter 4. Variational Induction.- Chapter 5. Causation As Difference Making.- Chapter 6. Evidence.- Chapter 7. Concept Formation.- Chapter 8. Analogy.- Chapter 9. Causal Probability.- Chapter 10. Conclusion.- Index.

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Book SynopsisThis monograph explores the synchronization of large-scale, multi-agent dynamical systems in the presence of disturbances, delays, and time-varying networks. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing the agents’ actions. The high technical level of their presentation and their rigorous mathematical approach make this a timely and valuable resource that will fill a gap in the existing literature. Divided into two sections, the first part of the book focuses on state synchronization of homogeneous multi-agent systems. The authors consider state synchronization by determining control strategies for both continuous- and discrete-time systems that achieve state synchronization under both full- and partial-state coupling. The chapters that follow examine multi-agent systems with both linear and nonlinear time-varying agents, input-delays for continuous- and discrete-time systems, and communication delays for continuous-time systems. The second part of the book is dedicated to regulated output synchronization of heterogeneous multi-agent systems with linear and nonlinear agents. Both sections of the book include performance considerations in H2- and H-infinity norms in the presence of external disturbances.Research on synchronization of multi-agent systems has been growing in popularity and is highly interdisciplinary, with applications to automobile systems, aerospace systems, multiple-satellite GPS and high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Synchronization of Multi-Agent Systems in the Presence of Disturbances and Delays will therefore be of interest to upper-level graduate students, researchers, and engineers in industry working on interconnected dynamical systems.Trade Review“This book presents a tangible overview of the theory and application of synchronization in a multi-agent system with an eye on disturbance and time delays. It is self-contained with preliminaries, theorem proofs and references. … This book is accessible to anyone studying systems and control theory with an undergraduate level of mathematics.” (Yilun Shang, Mathematical Reviews, October, 2022)Table of ContentsNotation and preliminaries.- Part I Synchronization of homogeneous systems.- Synchronization of continuous-time linear MAS.- Synchronization of discrete-time linear MAS.- Synchronization of linear MAS subject to actuator saturation.- Synchronization of continuous-time MAS with nonlinear time-varying agents.- Synchronization of continuous-time linear MAS with unknown input delay.- Synchronization of discrete-time linear MAS with unknown input delay.- Synchronization of continuous-time linear MAS with unknown communication delay.- Synchronization of discrete-time linear MAS with unknown communication delay.- Synchronization of linear MAS subject to actuator saturation and unknown input delay.- Synchronization of continuous-time linear time-varying MAS.- Synchronization of continuous-time nonlinear time-varying MAS.- H1 and H2 almost synchronization of continuous-time linear MAS.- Part II Synchronization of heterogeneous systems.- Necessary conditions for synchronization of heterogeneous MAS.- Regulated output synchronization of heterogeneous continuous-time linear MAS.- Regulated output synchronization of heterogeneous continuous-time nonlinear MAS.- Regulated output synchronization of heterogeneous continuous-time linear time-varying MAS.- Exact regulated output synchronization for heterogeneous continuous-time MAS in the presence of disturbances and measurement noise with known frequencies.- H1 almost output synchronization for heterogeneous continuous-time MAS.- H2 almost regulated output synchronization for heterogeneous continuous-time MAS.- Almost output synchronization of heterogeneous continuous-time linear MAS with passive agents.- Synchronization of heterogeneous continuous-/and discrete-time linear MAS with introspective agents.- A special coordinate basis (SCB) of linear multivariable systems.- Squaring down of general MIMO systems to invertible uniform rank systems via pre- and/or post-compensators.- Index.- References.

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Book SynopsisThis book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field. Table of ContentsAnalysis of Sentiment Tendency of Tourists' Comments Based on Text Mining.- Analysis of Smart City Construction Based on 5G Data Technology.- Prediction of Stock Price Based on Artificial Intelligence Algorithm.- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining.- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars.- Computer Graphics and Image Software in Advertising Design.- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises.- Impact of Computer Network Technology on Regional Economic Development.- Chaos Algorithm of Electrical Control System Based on Neural Network Technology.- Pulse Signal Acquisition System Based on Match Pursuit Algorithm.- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm.- Reactive Optimization of Power System Based on K-means Algorithm.- Design and Structure Analysis of Manipulator based on Acceleration Sensor.- Discussion on Decision Tree Algorithm in University Teaching Management System.

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Book SynopsisThis book provides the most recent security, privacy, technical and legal challenges in the IoT environments. This book offers a wide range of theoretical and technical solutions to address these challenges. Topics covered in this book include; IoT, privacy, ethics and security, the use of machine learning algorithms in classifying malicious websites, investigation of cases involving cryptocurrency, the challenges police and law enforcement face in policing cyberspace, the use of the IoT in modern terrorism and violent extremism, the challenges of the IoT in view of industrial control systems, and the impact of social media platforms on radicalisation to terrorism and violent extremism.This book also focuses on the ethical design of the IoT and the large volumes of data being collected and processed in an attempt to understand individuals’ perceptions of data and trust. A particular emphasis is placed on data ownership and perceived rights online. It examines cyber security challenges associated with the IoT, by making use of Industrial Control Systems, using an example with practical real-time considerations. Furthermore, this book compares and analyses different machine learning techniques, i.e., Gaussian Process Classification, Decision Tree Classification, and Support Vector Classification, based on their ability to learn and detect the attributes of malicious web applications. The data is subjected to multiple steps of pre-processing including; data formatting, missing value replacement, scaling and principal component analysis. This book has a multidisciplinary approach. Researchers working within security, privacy, technical and legal challenges in the IoT environments and advanced-level students majoring in computer science will find this book useful as a reference. Professionals working within this related field will also want to purchase this book.Table of ContentsIntroduction - Critical Analysis of the Challenges Police and Law Enforcement Face in Policing Cyberspace.- Ethics and the Internet of Everything: A Glimpse into People's Perceptions Of IoT Privacy and Security.- Privacy and Security Challenges and Opportunities for IoT Technologies during and beyond COVID-19.- The Challenges of the Internet of Things Considering Industrial Control Systems.- An Introduction to Cryptocurrency Investigations.- The Application of Machine Learning Algorithms in Classification of Malicious Websites.- The Use of the Internet and the Internet of Things in Modern Terrorism and Violent Extremism.- The Impact of the Internet and Social Media Platforms on Radicalisation to Terrorism and Violent Extremism.- The Internet, Social Media and the Internet of Things in Radicalisation to Terrorism and Violent Extremism.- The Internet of Things and Terrorism: A Cause for Concern.

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Book SynopsisThis book commemorates Eric Goles’s achievements in science and engineering. Eric Goles is one of the world leaders in the field of automata and complexity. His groundbreaking discoveries are in the theory and analysis of complex systems, particularly in the field of discrete systems dynamics such as neural networks, automata networks, majority networks, bootstrap percolation models, cellular automata, computational complexity theory, discrete mathematics, and theoretical computer science. Topics include cellular automata, complex networks, models of computation, expansive systems, sandpile automata, Penrose tilings, Boolean automata, models of infection, Fibonacci trees, dominos, reversible automata, and fungal automata. The chapters are authored by world leaders in computer science, physics, mathematics, and engineering. The book will be a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists, and engineers to chemists and biologists.Table of ContentsAbout Eric Goles.- Seven things I know about them.- Distortion in automorphisms of expansive systems.- Periods in the Q2R, X2R and Kawasaki-Q2R cellular automata.

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Book SynopsisThis book covers the latest advances in applying agent-based modelling in social sciences. The Social Simulation Conference is the major global conference devoted to this topic. It is aimed at promoting social simulation and computational social science. This year’s special theme is “Social Simulation geared towards Post-Pandemic times”, focused not only on questions raised by the current pandemic but also on future challenges related to economic recovery, such as localization, globalization, inequality, sustainable growth and social changes induced by progressive digitalization, data availability and artificial intelligence. The primary audience of this book are scholars and practitioners in computational social sciences including economics, business, sociology, politics, psychology and urban studies.Table of ContentsThis year’s special theme will be “Social Simulation geared towards Post-Pandemic times”, focused not only on questions raised by the current pandemic but also on future challenges related to economic recovery, such as localisation, globalization, inequality, sustainable growth and social changes induced by progressive digitalisation, data availability and artificial intelligence.

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Book SynopsisThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.

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Book SynopsisThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.

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Book SynopsisThe book contains the newest advances related to research and development of complex intellectual systems of various nature, acting under conditions of uncertainty and multifactor risks, intelligent systems for decision-making, high performance computing, state-of-the-art information technologies for needs of science, industry, economy, and environment. The most important problems of sustainable development and global threats estimation, forecast and foresight in tasks of planning and strategic decision-making are investigated. This monograph will be useful to researchers, post-graduates, and advanced students specializing in system analysis, decision-making, strategic planning or engineering design, fundamentals of computational Intelligence, artificial Intelligence systems based on hybrid neural networks, big data, and data mining.Table of ContentsPart I: System Analysis of Complex Systems.- Cyclic Regularities of the Covid-19 Spread and Vaccination Effect on Its Further Reduction.- Cyber-physical Systems Operation with Guaranteed Survivability and Safety under Conditions of Uncertainty and Multifactor Risks.- System Approach to Control-Oriented Mathematical Modeling of Thermal Processes of Buildings.- Toward the Mentality Accounting in Large Social Systems Models.- The Strategy of Underground Construction Objects Planning Based on Foresight and Cognitive Modelling Methodologies.- Assessing Territories for Urban Underground Objects Using Morphological Analysis-Based Model.- Application of Impulse Process Models with Multirate Sampling in Cognitive Maps of Cryptocurrency for Dynamic Decision Making.- Systemic Approach to Risk Estimation Using DSS.- Experimental Research of Impact of Order of Pairwise Alternative Comparisons upon Credibility of Expert Session Results.- Part II: Computational Intelligence and Intelligent Computing Technologies.- Enhancing the Relevance of Information Retrieval in Internet Media and Social Networks in Scenario Planning Tasks.- Breathmonitor: AI Sleep Apnea Mobile Detector.- Structure Optimization and Investigations of the Hybrid GMDH-Neo-fuzzy Neural Networks in Forecasting Problems.- The Method of Deformed Stars as a Population Algorithm for Global Optimization.- Guaranteed Estimation of Solutions to First Order Compatible Linear Systems of Periodic Ordinary Differential Equations with Unknown Right-Hand Sides.- Application of the Theory of Optimal Set Partitioning for Constructing Fuzzy Voronoi Diagrams.- Integrated Approach to Financial Data Analysis, Modeling and Forecasting.- Unranked Fuzzy Logic and Reasoning.- Fractal Analysis and Its Applications in Urban Environment.- Fractal Analysis Usage Areas in Healthcare.- Program Code Protecting Mechanism Based on Obfuscation Tools.

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Book SynopsisThis book discusses the open questions regarding the modelling of cyber-physical systems and their application in different industries. The industry needs new approaches to improve its competitiveness. The concept of cyber-physical systems supports such changes, with the need to find new modelling tools becoming a key challenge. The book contains five-section covering the following topics: cyber-physical systems modelling, IoT and signal processing, cyber-physical systems intelligent control, cyber-physical systems industrial implementation and the production of the new material for cyber-physical systems. These approaches, on the one hand, should ensure the execution of current business processes, and on the other hand, ensure a quick speed of reactions to changes. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research on modelling and industrial application of cyber-physical systems.Table of ContentsCyber-Physical Systems Modelling.- IoT and Signal Processing.- Cyber-Physical Systems Intelligent Control.- Cyber-Physical Systems Industrial implementation.- New Materials Production for Cyber-Physical Systems.

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Book SynopsisThis book celebrates Professor Thanos Antoulas's 70th birthday, marking his fundamental contributions to systems and control theory, especially model reduction and, more recently, data-driven modeling and system identification. Model reduction is a prominent research topic with wide ranging scientific and engineering applications. Table of ContentsPart I: Linear Dynamical Systems: B. Joseph, The rational interpolation problem: Grassmannian and Loewner-matrix approaches.- B. Jean-Paul, The conditioning of a linear barycentric rational interpolant.- D. Zlatko, Learning low-dimensional dynamical-system models from noisy frequency-response data with Loewner rational interpolation.- E. Mark, Pseudospectra of Loewner Matrix Pencils.- R. Paolo, A Loewner matrix approach to the identification of linear time-varying systems.- V. D. Paul, Linear System Matrices of Rational Transfer Functions.- Part II: Nonlinear Dynamical Systems: C. Xingang, Interpolation-based Model Order Reduction for Quadratic-Bilinear Systems and H2 Optimal Approximation.- C. Sridhar, An Adaptive Sampling Approach for the reduced basis method.- K. Boris, Balanced Truncation Model Reduction for Lifted Nonlinear Systems.- L. Sanda, Modeling the buck converter from measurements of its Harmonic Transfer Function.- P. Mihaly, Model reduction and realization theory of linear switched systems.- Part III: Structured Dynamical Systems: F. F. Damasceno, Developments in the Computation of Reduced Order Models with the Use of Dominant Spectral Zeros.- M. Volker, Structure-preserving Interpolatory Model Reduction for Port-Hamiltonian Differential-Algebraic Systems.- P. D. Igor, Data-Driven Identification of Rayleigh-Damped Second-Order Systems.- S. Tatjana, Balanced truncation model reduction for 3D linear magneto-quasistatic field problems.- Van der S. Arjan, Structure-preserving model reduction of physical network systems.- Part IV: Model Reduction for Control: B. Tobias, H2-gap model reduction for stabilizable and detactable systems.- H. Matthias, Reduced Order Model Hessian Approximations in Newton Methods for Optimal Control.- P.-V. Charles, Interpolation-based irrational model control design and stabilty analysis.- Part V: Applications: D. Clifford, Oscillations in Biology: G. Eduardo, Model-Order Reduction for Coupled Flow and Linear Thermal-Poroplasticity with Applications to Unconventional Reservoirs.- I. Roxana, Challenges in model reduction for real-time simulation of traction chain systems.- N. Masaaki, Sparse Representation for Sampled-data Hinf Filter.- S. Eduardo, Analysis of a reduced model of epithelial–mesenchymal fate determination in cancer metastasis as a singularly-perturbed monotone system.

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Book SynopsisThis book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and a classroom lecture style so that the learning process feels organic. It also contains original results, with the goal of driving research conversations forward.This will be particularly useful for researchers working in machine learning, biomedical signal processing, and other fields that increasingly rely on complex random variables to model complex-valued data. It can also be used in advanced courses on multivariate analysis. Numerous exercises are included throughout.Table of Contents1. Mathematical Preliminaries.- 2. The Univariate Gaussian and Related Distribution.- 3. Multivariate Gaussian and Related Distributions.- 4. The Matrix-variate Gaussian Distribution.- 5. Matrix-variate Gamma and Beta Distributions.- 6. Hypothesis Testing and Null Distributions.- 7. Rectangular Matrix-variate Distributions.- 8. Distributions of Eigenvalues and Eigenvectors.- 9. Principal Component Analysis.- 10. Canonical Correlation Analysis.- 11. Factor Analysis.- 12. Classification Problems.- 13. Multivariate Analysis of Variance (MANOVA).- 14. Profile Analysis and Growth Curves.- 15. Cluster Analysis and Correspondence Analysis.

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Book SynopsisThis book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering

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Book SynopsisThis book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering

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Book SynopsisDistributed Coordination Theory for Robot Teams develops control algorithms to coordinate the motion of autonomous teams of robots in order to achieve some desired collective goal. It provides novel solutions to foundational coordination problems, including distributed algorithms to make quadrotor helicopters rendezvous and to make ground vehicles move in formation along circles or straight lines. The majority of the algorithms presented in this book can be implemented using on-board cameras. The book begins with an introduction to coordination problems, such as rendezvous of flying robots, and modelling. It then provides a solid theoretical background in basic stability, graph theory and control primitives. The book discusses the algorithmic solutions for numerous distributed control problems, focusing primarily on flying robotics and kinematic unicycles. Finally, the book looks to the future, and suggests areas discussed which could be pursued in further research. This book will provide practitioners, researchers and students in the field of control and robotics new insights in distributed multi-agent systems.Trade Review“The book is intended for students and scientists and should be of interest to practicing and research engineers as well as Ph.D. students in the field of motion control of robots and robot teams.” (Clementina Mladenova, zbMATH 1503.93007, 2023)Table of Contents1. Introduction.- 2. Modelling.- 3. Coordination Problems.- 4. Preliminaries.- 5. Rendezvous of Flying Robots with Local and Distributed Feedbacks.- 6. Rendezvous of Kinematic Unicycles with Local and Distributed Feedbacks.- 7. Formations of Kinematic Unicycles.- 8. Formations of Kinematic Unicycles with Parallel and Circular Collective Motions.- 9. General Formation Path Following.- 10. Unicycle Formation Simulation Trials.- 11. Conclusions and Future Research.

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Book SynopsisThis book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.Table of ContentsAn Introduction and Systematic Review on Machine Learning for Smart Environments/Cities: An IoT Approach.- Model-Based Digital Threads for Socio-Technical Systems.- IoT Regulated Water Quality Prediction Through Machine Learning for Smart Environments.

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Book SynopsisThis textbook is designed for an introductory, one-semester course in Control Systems for undergraduates and graduates in various engineering departments, such as electrical, mechanical, aerospace, and civil. It is written to be concise, clear, and yet comprehensive to make it easier for the students to learn this important subject with high mathematical complexity. The author emphasizes the physical simulation of systems, making it easier for readers to understand system behavior. The popular MATLAB® software package is used for programming and simulation. Every new concept is explained with figures and examples for a clear understanding. The simple and clear style of presentation, along with comprehensive coverage, enables students to obtain a solid foundation in the subject and for use in practical applications.Table of Contents1. Introduction2. The Laplace Transform3. Mathematical Modeling of Electrical Systems4. Mathematical Modeling of Mechanical Systems5. Block Diagrams and Signal-Flow Graphs6. Steady State and Transient Responses7. Root Locus8. Design of Control Systems in Frequency Domain - Bode plot9. Nyquist Plot10. State-space Analysis of Control Systems11. Design of Control Systems in State space

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Book SynopsisThis book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle—and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.Table of ContentsPQD Analysis in Smart Grid System Using Attention-based Neural Network.- Internet of Things Waste Detection and Classification using Optimal Deep Learning Model.- A Smart Record System for Driver Accidental Using Blockchain.

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Book SynopsisThis book aims to provide a platform to the researchers and practitioners from both academia and industry to meet and share their experience and knowledge. Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), Volume 1 & 2, aims to bring together researchers and professionals to exchange ideas on the advancements in technology, application areas for advanced communication systems and development of new services, and facilitate a tremendous growth of new devices and smart things that need to be connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, unmanned aerial vehicles, cloud and edge computing, energy efficiency/harvesting, and computing power open the way to new domains, services, and business models beyond the traditional mobile Internet. The new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. These are only some examples of the challenges that are of interest to researchers in Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT). It will explore the latest developments, innovations, and best practices within the IoT and the impact it has on industries including: manufacturing, transport, supply chain, communication, government, legal sectors, financial services, energy utilities, insurance, health care, retail, and many others. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research, contributions, and views, on one forum, and interact with members inside and outside their own particular disciplines. Papers describing applications of IoT in e-Health, Smart Systems & Management, Communication, and Education are also included, but the focus is mainly on how new and novel techniques advance the performance in application areas, rather than a presentation of yet another application of conventional tool. Papers on such applications describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the techniques being exploited.Table of ContentsEvolution Characteristics of High-Tech Industry Innovation Efficiency under the Background of Information Technology.- The Effect of Rapid Weight Loss on Football Players' Health and Athletic Ability under Computer Technology.- University Art Education and Informatization Teaching Innovation in the Era of Network Information.- (CAD/CAM) Preliminary Establishment of Digital System in Dental Restoration.- Effectiveness of College Students' Physical Exercise on Improving Mood State Based on Big Data.- Influence of Big Data Information Processing Technology on English Reading Anxiety.- Use of Animal Waste for Heat and Produce Electricity in form of Steam Power.- A Hybrid Scheduling Approach in the Cloud.

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Book SynopsisDynamical systems and the twin field ergodic theory have their roots in the qualitative theory of differential equations, developed by the great mathematician Henri Poincaré, and in the kinetic theory of gases built in mathematical terms by physicists James Clerk Maxwell and Ludwig Boltzmann. Together, they aim to model, explain and predict the behavior of natural and artificial phenomena which evolve in time. For more than three decades, Marcelo Viana has been making several outstanding contributions to this area of mathematics. This volume contains a selection of his research papers, covering a wide range of topics: rigorous theory of strange attractors, physical measures, bifurcation theory, homoclinic phenomena, fractal dimensions, partial hyperbolicity, thermodynamic formalism, non-uniform hyperbolicity, interval exchange maps Teichmüller flows, and the modern theory of Lyapunov exponents. Marcelo Viana, a world leader in this field, has been the object of several academic distinctions, such as the inaugural Ramanujan prize of the International Centre for Theoretical Physics, and the Louis D. Scientific Grand Prix of the Institut de France. He is also recognized for his broad contribution to the mathematical community, in his country and region as well as in the international arena.Table of ContentsModuli of continuity for the Lyapunov exponents of random GL(2)-cocycles: El Hadji Yaya Tall and Marcelo Viana.- Continuity of Lyapunov exponents in the C 0 topology: Marcelo Viana and Jiagang Yang.- Continuity of Lyapunov exponents for random two-dimensional matrices: Carlos Bocker-Neto and Marcelo Viana.- Absolute continuity, Lyapunov exponents and rigidity I: geodesic flows: Artur Avila, Marcelo Viana and Amie Wilkinson.- Holonomy invariance: rough regularity and applications to Lyapunov exponents: Artur Avila, Jimmy Santamaria and Marcelo Viana.- Extremal Lyapunov exponents: an invariance principle and applications: Artur Avila and Marcelo Viana.- Almost all cocycles over any hyperbolic system have nonvanishing Lyapunov exponents: Marcelo Viana.- Simplicity of Lyapunov spectra: proof of the Zorich–Kontsevich conjecture: Artur Avila and Marcelo Viana.- The Lyapunov exponents of generic volume-preserving and symplectic maps: Jairo Bochi and Marcelo Viana.- xv Contents Généricité d’exposants de Lyapunov non-nuls pour des produits déterministes de matrices [Genericity of non-zero Lyapunov exponents for deterministic products of matrices]: Christian Bonatti, Xavier Gómez-Mont and Marcelo Viana.- Solution of the basin problem for Hénon-like attractors: Michael Benedicks and Marcelo Viana.- SRB measures for partially hyperbolic systems whose central direction is mostly contracting: Christian Bonatti and Marcelo Viana.- SRB measures for partially hyperbolic systems whose central direction is mostly expanding: José F. Alves, Christian Bonatti and Marcelo Viana.- Multidimensional nonhyperbolic attractors: Marcelo Viana.- Strange attractors in saddle-node cycles: prevalence and globality: L.J. Diaz, J. Rocha and M. Viana.- High dimension diffeomorphisms displaying infinitely many periodic attractors: J. Palis and M. Viana.- Abundance of strange attractors: Leonardo Mora and Marcelo Viana.- List of Publications of Marcelo Viana.- List of Ph.D. Students of Marcelo Viana at IMPA.- Credits.

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Book SynopsisThis book touches upon various aspects of a very interesting, and growing in popularity category of models of dynamical systems. These are the so-called fractional-order systems. Such models are not only relevant for many fields of science and technology, but may also find numerous applications in other disciplines applying the mathematical modelling tools. Thus, the book is intended for a very wide audience of professionals who want to expand their knowledge of systems modelling and its applications.The book includes the selections of papers presented at the International Conference on Fractional Calculus and its Applications organized by the Warsaw University of Technology and was held online on 6–8 September 2021.The International Conference on Fractional Calculus and its Applications (ICFDA) has an almost twenty years history. It started in Bordeaux (France) in 2004, followed by Porto (Portugal) 2006, Istanbul (Turkey) 2008, Badajoz (Spain) 2010, Nanjing (China) 2012, Catania (Italy) 2014, Novi Sad (Serbia) 2016, Amman (Jordan) 2018. Next ICFDA was planned in 2020 in Warsaw (Poland), but COVID-19 pandemic shifted it to 6–8 September 2021. Hence, the organizers were forced to change the form of the conference to the online one.In the volume twenty eight high-quality research papers presented during the ICFDA 2021 eleven Regular Sessions with an additional online Discussion Session are presented. The presented papers are scientifically inspiring, leading to new fruitful ideas. They cover a very broad range of many disciplines. Nowadays, and especially in such a subject as fractional calculus, it is very difficult to assign papers to specific scientific areas. So, many of the papers included have an interdisciplinary character.

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Book SynopsisThe book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.Table of ContentsMeasures of Outlierness in High-Dimensional Data under Correlation of Features - with Application for Open-Set Classification, Szymon Datko, Henryk Maciejewski, Tomasz Walkowiak.- Multiprocessor tasks scheduling - Fuzzy Logic Approach, Dariusz Dorota.- Nonparametric tracking for time-varying nonlinearities using the kernel method, Purva Joshi, Grzegorz Mzyk.- Embedded systems' startup code optimization, Patryk Pankiewicz.- Influence of accelerometer placement on biometric gaitidentification, Aleksander Sawicki.- An Impact of Data Augmentation Techniques on the Robustness of CNNs, Kamil Szyc.- Dual Learning Model for Multiclass Brain Tumor classification, Rohit Thanki, Sanna Kaddoura.

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Book SynopsisHigh dimensional reference architectures presented here allows confronting and prevailing over the growing complexity of polytopic projects implementations.Such projects should be envisaged giving that conventional systems operations, equipments, methodologies or organizations will reach their limits for self-evolvability in high complexity conditions. Self-evolvable high complexity systems are based on high dimensional polytopic reference architectures.Polytope is the general term of the sequence: point, line, polygon, polyhedron and so on.The polytopic projects are targeting the artificiality, not only for materials where it is well known and applied, but also for biological, cognitive, intelligent and mathematical systems. The book highlights the polytopic projects basic similarity despite the noticeable difference as domains of application. The roads to follow and the algebra of changing roads are emphasized.The book is divided in 9 chapters. Chapter 1 introduces the Polytopic Roadmap to 4D and beyond. The role for the dialogue of processes in duality of the non-Aristotelian Logic of Contradiction and of Included Middle is emphasized for different domains. Chapter 2 refers to chemical systems. Supramolecular chemistry, metal organic frameworks, MOF, and reaction networks, are the examples considered in the frame of polytopic chemistry. Chapter 3 refers to biological systems. Biological dynamical hierarchies and quasi-species are the considered case studies. Technological and scientific projects targeting artificiality for cells and viruses are considered. Chapter 4 refers to cognitive systems. Developmental stages, formal and relational concepts analysis, and neural coding are considered here. The roles of the 4D systems of systems of systems and of conceptual 4D-cube are emphasized. Artificiality for cognitive systems is the object of study.Chapter 5 refers to mathematical systems. Modeling levels and the 4D digital twins are discussed. Hopf monoids as tools for the study of combinations and separations, dual graded graphs and V-models are informally presented. Chapter 6 refers to application of formal concept analysis, FCA, for high dimensional separations, nesting and drug delivery. Chapter 7 refers to polytopic engineering systems as multiscale transfer, distributors-collectors, cyclic operations, middle vessel columns, mixing, assembly and designs. Equipments have been characterized using Polytopic Roadmaps and classified by Periodic Tables. Chapter 8 introduces polytopic industry, economy, society and sustainability. Chapter 9 outlines new domains of interest as arts and architecture, transdisciplinarity, complex systems and unity of sciences and engineering.Polytopic Roadmaps are proposed as Method for experts from various fields to synthesize their thinking and capabilities into new projects implementation to face and surpass high complexity. A repetitive finding of this book is that self-evolvability observed in physical systems is based on the same directed sequence of reference architectures as the self-evolvability of concepts in our mind. Continuing to develop the field of self-evolvable systems and presenting the polytopic roadmaps for 4D and beyond advances in ever growing complexity domains, the book will be useful to engineers, researchers, entrepreneurs and students in different branches of production, complex systems sciences and engineering, ecology and applied mathematics.Table of ContentsRoadmap to 4D and beyond.- Cognitive Systems.- Conceptual Systems.- Prospective.- Index.

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Book SynopsisMathematical Modeling for Epidemiology and Ecology provides readers with the mathematical tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics in biological contexts, focusing on the central mathematical ideas and the biological implications, with detailed explanations. The author assumes no mathematics background beyond elementary differential calculus. An introductory chapter on basic principles of mathematical modeling is followed by chapters on empirical modeling and mechanistic modeling. These chapters contain a thorough treatment of key ideas and techniques that are often neglected in mathematics books, such as the Akaike Information Criterion. The second half of the book focuses on analysis of dynamical systems, emphasizing tools to simplify analysis, such as the Routh-Hurwitz conditions and asymptotic analysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology.The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that focus on a single detailed example, and some is based on recent research by the author on vaccination modeling and scenarios from the COVID-19 pandemic.The problem sets feature linked problems where one biological setting appears in multi-step problems that are sorted into the appropriate section, allowing readers to gradually develop complete investigations of topics such as HIV immunology and harvesting of natural resources. Some problems use programs written by the author for Matlab or Octave; these combine with more traditional mathematical exercises to give students a full set of tools for model analysis. Each chapter contains additional case studies in the form of projects with detailed directions. New appendices contain mathematical details on optimization, numerical solution of differential equations, scaling, linearization, and sophisticated use of elementary algebra to simplify problems.Trade Review“This is a well-written book, highly suitable for applied math undergraduate students.” (Stephanie Abo, Chi-Chung Cheung, Ryth Dasgupta, Pritha Dutta, Shervin Hakimi, Amandeep Kaur, Anita T. Layton, Mehrshad Sadria, Melissa Stadt, Vasu Swaroop and Kaixin Zheng)Table of ContentsPart I Mathematical Modeling.- 1 Modeling in Biology.- 2 Empirical Modeling.- 3 Mechanistic Modeling. Part II Dynamical Systems.- 4 Dynamics of Single Populations.- 5 Discrete Linear Systems.- 6 Nonlinear Dynamical Systems.- Appendix A. Using Matlab and Octave.- Appendix B. Derivatives and Differentiation.- Appendix C. Nonlinear Optimization.- Appendix D. A Runge-Kutta Method for Numerical Solution of Differential Equations.- Appendix E. Scales and Dimensionless Parameters.- Appendix F. Approximating a Nonlinear System at an Equilibrium Point.- Appendix G. Best Practices in the Use of Algebra.- Hints and Answers to Selected Problems.- Index.

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Book SynopsisCommissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ‘Body of Knowledge’ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations.Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation.This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline.Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.Table of Contents1. Preliminary.- 2. M&S BOK Core Areas and the Big Picture.- 3. Simulation as Experimentation.- 4. Simulation as Experience to Enhance Three Types of Skills.- 5. Simulation Games (Simulation as Experience for Entertainment).- 6. Infrastructure.- 7. Reliability and Quality Assurance of M&S.- 8. Ethics.- 9. Enterprise (Economics of M&S).- 10. Maturity.- 11. Supporting Domains: Computers and Computation.- 12. Supporting Science Areas.- 13. Supporting Engineering Areas.-14. Supporting Social Science and Management Areas.- 15. Philosophy and Modelling and Simulation.- 16. History.- 17. Core Research Areas.- 18. Trends, Desirable Features, and Challenges.

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Book SynopsisInput-to-State Stability presents the dominating stability paradigm in nonlinear control theory that revolutionized our view on stabilization of nonlinear systems, design of robust nonlinear observers, and stability of nonlinear interconnected control systems. The applications of input-to-state stability (ISS) are manifold and include mechatronics, aerospace engineering, and systems biology. Although the book concentrates on the ISS theory of finite-dimensional systems, it emphasizes the importance of a more general view of infinite-dimensional ISS theory. This permits the analysis of more general system classes and provides new perspectives on and a better understanding of the classical ISS theory for ordinary differential equations (ODEs). Features of the book include: • a comprehensive overview of the theoretical basis of ISS; • a description of the central applications of ISS in nonlinear control theory; • a detailed discussion of the role of small-gain methods in the stability of nonlinear networks; and • an in-depth comparison of ISS for finite- and infinite-dimensional systems. The book also provides a short overview of the ISS theory for other systems classes (partial differential equations, hybrid, impulsive, and time-delay systems) and surveys the available results for the important stability properties that are related to ISS. The reader should have a basic knowledge of analysis, Lebesgue integration theory, linear algebra, and the theory of ODEs but requires no prior knowledge of dynamical systems or stability theory. The author introduces all the necessary ideas within the book. Input-to-State Stability will interest researchers and graduate students studying nonlinear control from either a mathematical or engineering background. It is intended for active readers and contains numerous exercises of varying difficulty, which are integral to the text, complementing and widening the material developed in the monograph.Table of Contents

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Book SynopsisThis book covers power systems cybersecurity. In order to enhance overall stability and security in wide-area cyber-physical power systems and defend against cyberattacks, new resilient operation, control, and protection methods are required. The cyberattack-resilient control methods improve overall cybersecurity and stability in normal and abnormal operating conditions. By contrast, cyberattack-resilient protection schemes are important to keep the secure operation of a system under the most severe contingencies and cyberattacks. The main subjects covered in the book are: 1) proposing new tolerant and cyberattack-resilient control and protection methods against cyberattacks for future power systems, 2) suggesting new methods for cyberattack detection and cybersecurity assessment, and 3) focusing on practical issues in modern power systems. Table of ContentsChapter 1. A comprehensive review on cyber-attack detection and control of microgrid systems.- Chapter 2. Cyber Vulnerabilities of Modern Power Systems.- Chapter 3. Cyber-Physical Security in Smart Power Systems from a Resilience Perspective: Concepts and Possible Solutions.- Chapter 4. Cybersecurity Challenges in Microgrids: Inverter-Based Resources and Electric Vehicles.- Chapter 5. Improving Cybersecurity Situational Awareness in Smart Grid Environments.- Chapter 6. Hybrid Physics-Based and Data-driven Mitigation Strategy for Automatic Generation Control Under Cyber Attack.- Chapter 7. Data Driven Cybr Resilient Control of Wide Area Power Systems.- Chapter 8. Cyberattack-Resilient Control in Multi-Area Power Generation.- Chapter 9. Cyber-Security of Protection System in Power Grids - Part 1: Vulnerabilities and Counter-Measures.- Chapter 10. Cyber-Security of Protection System in Power Grids - Part 2: Case Studies on Securing Line Current Differential Relays.- Chapter 11. Semi-supervised deep learning-driven anomaly detection schemes for cyber-attack detection in smart grids.- Chapter 12. Vertical approach Anomaly Detection using Local Outlier Factor.- Chapter 13. A modular infrastructure for the validation of cyberattack detection systems.- Chapter 14. A novel self-learning cybersecurity system for smart grids.- Chapter 15. Cyber-resilience enhancement framework in smart grids.- Chapter 16. SOAR4DER: Security Orchestration, Automation, and Response for Distributed Energy Resources.- Chapter 17. A Study on Cyber-Physical System Architecture for Smart Grids and Its Cyber Vulnerability.- Chapter 18. A Study on Cybersecurity Standards for Power Systems.

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Book SynopsisThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.Table of ContentsPart I: Information Spreading in Social Media.- Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization.- Properties of Reddit News Topical Interactions.- Will You Take the Knee? Italian Twitter Echo Chambers’ Genesis during EURO 2020.- A simple model of knowledge scaffolding.- Using knowledge graphs to detect partisanship in online political discourse.- The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit.- Opening up echo chambers via optimal content recommendation.- Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions.- The effects of message sorting in the diffusion of information in online social media.- Gradual Network Sparsification and Georeferencing for Location-Aware Event Detection in Microblogging Services.- Manipulation during the French presidential campaign : Coordinated inauthentic behaviors and astroturfing analysis on text and images.- Part II: Modeling Human Behavior.- Lexical networks constructed to correspond students’ short written responses: A quantum semantic approach.- Attributed Stream-Hypernetwork analysis: Homophilic Behaviors in Pairwise and Group Political Discussions on Reddit.- Individual Fairness for Social Media Influencers.- Multidimensional online American politics: Mining emergent social cleavages in social graphs.- Classical and quantum random walks to identify leaders in criminal networks.- Random walk for generalization in goal-directed human navigation on Wikipedia.- Sometimes Less is More: When Aggregating Networks Masks Effects.- An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning.- Part III: Biological Networks.- Modeling of Hardy-Weinberg Equilibrium using dynamic random networks in an ABM framework.- IntegrOmics: A computational Framework to analyze RNA-Seq and Methylation data through heterogeneous multi-layer networks.- A Network-based Approach for Inferring Thresholds in Co-expression Networks.- Building Differential Co-expression Networks with Variable Selection and Regularization.- Inferring probabilistic Boolean networks from steady-state gene data samples.- Quantifying High-Order Interactions in Complex Physiological Networks: a frequency-specific approach.- A Novel Reverse Engineering Approach for Gene Regulatory Networks.- Using the Duplication-Divergence Network Model to Predict Protein-Protein Interactions.- Part IV: Machine Learning and Networks.- SignedS2V: structural embedding method for signed networks.- HM-LDM: A Hybrid-Membership Latent Distance Model.- The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs.- Inferring Parsimonious Coupling Statistics in Nonlinear Dynamics with Variational Gaussian Processes.- Detection of Sparsity in Multidimensional Data Using Network Degree Distribution and Improved Supervised Learning with Correction of Data Weighting.- Network Structure vs Chemical Information in Drug-Drug Interaction Prediction.- Geometric Deep Learning graph pruning to speed-up the run-time of Maximum Clique Enumerarion algorithms.- Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning.- Part V: Networks in Finance and Economics.- Pattern Analysis of Money Flows in the Bitcoin Blockchain.- On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product.- Measuring the Stability of Technical Cooperation Network Based on the Nested Structure Theory.- Dynamic transition graph for estimating the predictability of financial and economical processes.- A network analysis of world trade structural changes (1996-2019).- Green Sector Space: The evolution and capabilities spillover of economic green sectors in the United States.- Statistical inference of lead-lag between asynchronous time series from p-values of transfer entropy at various timescales.- Part VI: Networks and Mobility.- Extracting Metro Passenger Flow Predictors from Network’s Complex Characteristics.- Estimating Peak-Hour Urban Traffic Congestion.- Adaptive Routing Potential in Road Networks.- Part VII: Diffusion and Epidemics.- Detecting Global Community Structure in a COVID-19 Activity Correlation Network.- Overcoming vaccine hesitancy by multiplex social network targeting.- Analyzing Community-aware Centrality Measures Using The Independent Cascade Model.- Paths for emergence of superspreaders in dengue fever spreading network.- Part VIII: Multilayer Networks.- Structural Cores and Problems of Vulnerability of Partially Overlapped Multilayer Networks.- Multilayer Block Models for Exploratory Analysis of Computer Event Logs.- On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks.

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Book SynopsisThis textbook provides a mathematical introduction to linear systems, with a focus on the continuous-time models that arise in engineering applications such as electrical circuits and signal processing. The book introduces linear systems via block diagrams and the theory of the Laplace transform, using basic complex analysis.The book mainly covers linear systems with finite-dimensional state spaces. Graphical methods such as Nyquist plots and Bode plots are presented alongside computational tools such as MATLAB. Multiple-input multiple-output (MIMO) systems, which arise in modern telecommunication devices, are discussed in detail. The book also introduces orthogonal polynomials with important examples in signal processing and wireless communication, such as Telatar’s model for multiple antenna transmission. One of the later chapters introduces infinite-dimensional Hilbert space as a state space, with the canonical model of a linear system. The final chapter covers modern applications to signal processing, Whittaker’s sampling theorem for band-limited functions, and Shannon’s wavelet.Based on courses given for many years to upper undergraduate mathematics students, the book provides a systematic, mathematical account of linear systems theory, and as such will also be useful for students and researchers in engineering. The prerequisites are basic linear algebra and complex analysis.Table of Contents- 1. Linear Systems and Their Description. - 2. Solving Linear Systems by Matrix Theory. - 3. Eigenvalues and Block Decompositions of Matrices. - 4. Laplace Transforms. - 5. Transfer Functions, Frequency Response, Realization and Stability. - 6. Algebraic Characterizations of Stability. - 7. Stability and Transfer Functions via Linear Algebra. - 8. Discrete Time Systems. - 9. Random Linear Systems and Green’s Functions. - 10. Hilbert Spaces. - 11. Wireless Transmission and Wavelets. - 12. Solutions to Selected Exercises.

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Book SynopsisThis book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT’s behavior-matching with the real system or physical twin.The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilities in feedback control systems.The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website. This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.Table of ContentsDigital Twin Background.- A Digital Twin Development Framework.- Digital Twin Enabling Capabilities.- Smart Control Engineering Enabled by Digital Twin.- Summary and Future Research Opportunities.

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Book SynopsisWhile GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve thea

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Book SynopsisThis book constitutes the refereed proceedings of the 26th European Conference on Genetic Programming, EuroGP 2023, held as part of EvoStar 2023, in Brno, Czech Republic, during April 12–14, 2023, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 14 revised full papers and 8 short papers presented in this book were carefully reviewed and selected from 38 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms for both optimization and machine learning problems as well as exploring GP to address complex real-world problems.

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Book SynopsisThis book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving the definitions of discrete-time semi-Markov chains and random evolutions, it presents the asymptotic theory in a functional setting, including weak convergence results in the series scheme, and their extensions in some additional directions, including reduced random media, controlled processes, and optimal stopping. Finally, applications of discrete-time semi-Markov random evolutions in epidemiology and financial mathematics are discussed. This book will be of interest to researchers and graduate students in applied mathematics and statistics, and other disciplines, including engineering, epidemiology, finance and economics, who are concerned with stochastic models of systems.Table of Contents- 1. Discrete-Time Stochastic Calculus in Banach Space. - 2. Discrete-Time Semi-Markov Chains. - 3. Discrete-Time Semi-Markov Random Evolutions. - 4. Weak Convergence of DTSMRE in Series Scheme. - 5. DTSMRE in Reduced Random Media. - 6. Controlled Discrete-Time Semi-Markov Random Evolutions. - 7. Epidemic Models in Random Media. - 8. Optimal Stopping of Geometric Markov Renewal Chains and Pricing.

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Book SynopsisThis text provides a detailed and self-contained introduction to the core topics of optimal control for finite-dimensional deterministic dynamical systems. Skillfully designed to guide the student through the development of the subject, the book provides a rich collection of examples, exercises, illustrations, and applications, to support comprehension of the material. Solutions to odd-numbered exercises are included, while a complete set of solutions is available to instructors who adopt the text for their class. The book is adaptable to coursework for final year undergraduates in (applied) mathematics or beginning graduate students in engineering. Required mathematical background includes calculus, linear algebra, a basic knowledge of differential equations, as well as a rudimentary acquaintance with control systems. The book has developed out of lecture notes that were tested, adapted, and expanded over many years of teaching. Chapters 1-4 constitute the material for a basic course on optimal control, covering successively the calculus of variations, minimum principle, dynamic programming, and linear quadratic control. The additional Chapter 5 provides brief views to a number of selected topics related to optimal control, which are meant to peak the reader’s interest. Some mathematical background is summarized in Appendix A for easy review. Appendix B recalls some of the basics of differential equations and also provides a detailed treatment of Lyapunov stability theory including LaSalle’s invariance principle, as occasionally used in Chapters 3 and 4.Table of Contents1. Calculus of Variations.- 2. Minimum Principle.- 3. Dynamic Programming.- 4. Linear Quadratic Control.- 5. Glimpses of Related Topics.- A. Background Material.- B. Differential Equations and Lyapunov Functions.- Solutions to Odd Numbered Exercises.- Bibliography.- Index.

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Book SynopsisThis book considers a class of ergodic finite controllable Markov's chains. The main idea behind the method, described in this book, is to develop the original discrete optimization problems (or game models) in the space of randomized formulations, where the variables stand in for the distributions (mixed strategies or preferences) of the original discrete (pure) strategies in the use. The following suppositions are made: a finite state space, a limited action space, continuity of the probabilities and rewards associated with the actions, and a necessity for accessibility. These hypotheses lead to the existence of an optimal policy. The best course of action is always stationary. It is either simple (i.e., nonrandomized stationary) or composed of two nonrandomized policies, which is equivalent to randomly selecting one of two simple policies throughout each epoch by tossing a biased coin. As a bonus, the optimization procedure just has to repeatedly solve the time-average dynamic programming equation, making it theoretically feasible to choose the optimum course of action under the global restriction. In the ergodic cases the state distributions, generated by the corresponding transition equations, exponentially quickly converge to their stationary (final) values. This makes it possible to employ all widely used optimization methods (such as Gradient-like procedures, Extra-proximal method, Lagrange's multipliers, Tikhonov's regularization), including the related numerical techniques. In the book we tackle different problems and theoretical Markov models like controllable and ergodic Markov chains, multi-objective Pareto front solutions, partially observable Markov chains, continuous-time Markov chains, Nash equilibrium and Stackelberg equilibrium, Lyapunov-like function in Markov chains, Best-reply strategy, Bayesian incentive-compatible mechanisms, Bayesian Partially Observable Markov Games, bargaining solutions for Nash and Kalai-Smorodinsky formulations, multi-traffic signal-control synchronization problem, Rubinstein's non-cooperative bargaining solutions, the transfer pricing problem as bargaining.Table of ContentsControllable Markov Chains.- Multiobjective Control.- Partially Observable Markov Chains.- Continuous-Time Markov Chains.- Nash and Stackelberg Equilibrium.- Best-Reply Strategies in Repeated Games.- Mechanism design.- Joint Observer and Mechanism Design.- Bargaining Games or How to Negotiate.- Multi-Traffic Signal-Control Synchronization.- Non-cooperative bargaining with unsophisticated agents.- Transfer Pricing as Bargaining.- Index.

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Book SynopsisThisvolume aims to present the latest advancements in experimental, analytical, and numerical methodologies aimed at exploring the nonlinear dynamics of diverse systems across varying length and time scales. It delves into the following topics:Methodologies for nonlinear dynamic analysis (harmonic balance, asymptotic techniques, enhanced time integration)Data-driven dynamics, machine learning techniquesExploration of bifurcations and nonsmooth systemsNonlinear phenomena in mechanical systems and structuresExperimental dynamics, system identification, and monitoring techniquesFluid-structure interactionDynamics of multibody systemsTurning processes, rotating systems, and systems with time delays

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Book SynopsisPart I Public Health: Agent-based Modelling and Public Health: An Introduction to the Proceedings of the 2023 Social Simulation Conference.- Estimating Population Burden of Stroke with an Agent-Based Model.- Crowd Health Encoding, for Crowd Simulations Using the Smoothed Particle Hydrodynamics Computational Method.- Reculer Pour Mieux Sauter: Resurrecting an ABM of Household Budgeting and Applying It to Deteriorating Economic Conditions.- Growing populations from the `bottom-up': an ABM approach to the generation of synthetic populations.- Whole-system pandemic modelling including pathogen evolution.- ABM for simulating the access to elective surgery services: the issue of patient mobility in Italy.- Simple Heuristics as Mental Model for Staple Food Choice: An ABM Exercise.- Part II Policy Modelling: Policy comparisons and causality in an agent-based model.- Simulations as a Dialogue Tool: Strengthening Community Engagement and Local Democratic Processes.- Gamification and Simulatio

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Book SynopsisRelativistic Superjet, Tetraneutrons and Higgs Boson in the Quark-Gluon Model.- Split Dislocations in a Fractal Coupled Structure.- A New Price of the Arithmetic Asian Option:A Simple Formula.- Study on Analog and Discrete Chaos Oscillators Synchronization.- Investigating Environmental Temperature Effect on Gene Transcription Phenomena:Chaos Approach.- Rotor-stator contact in a hydropower machine with squeeze-film damper.- One-directional grid scroll hidden attractor on the plane.- Fundamental Frequency Impact on Vilnius Chaos Oscillator Dynamics.- Evaluation of critical dimension composite operators for the stochastic model A.- Analysis and Control of Chaos in Simple 3D Autonomous System with Exponential Nonlinearity.- Principal component analysis on granularity and instability of economic systems in emerging countries.- Codification of images based on deterministic Brownian motion.- Synthesis of multifractals by Brownian dynamics of a point in a field of N central forces.- A Higher-Order Septic Nonlinear Model for Transverse waves in a Generalized Elastic Medium.- Renormalization group study of two-species reaction-diffusion system: Influence of random velocity fluctuations.- Helical Magnetohydrodynamic Turbulence Progress in Two-Loop Approximation.- Dynamics of an electronic relay systems with bandpass ?ltered feedback.- Thermodynamics of Dissipative Solitons.- Possible Chaotic Behavior in Models Inspired by Field Theories.- Generalized Normal Forms in Dynamical Systems Near Equilibrium.- Chemical Analogs of Voronoi Diagrams.- 3-D Discrete Vortex and Convection for the Lorenz System.- 3-D Discrete Eddy and Convection for the Turing Model.- Complex dynamics generated by simultaneous route and departure time choice in transportation networks.- Distributions of the re?ection amplitude for networks with unitary and symplectic symmetries in the case of large absorption.- Modulational Instability, Vector Solitons and Extreme Amplitude Envelopes in Asymmetric Coupled Nonlinear Schrodinger Equations.- A New Method for Improving Pseudorandomness of Pseudorandom Sequences with Applications.- Entropy-Based Approaches of Edge Significance Quantification in Complex Networks: Detection of Link Vulnerabilities Using Static, Dynamic and Group-Focused Methods.- On the Efficiency and Accuracy of the FORM Algorithm Applied to Nonlinear Models for Geotechnical Design.- Metamodelling with the Multi-Dimensional Hermite Polynomial Chaos Expansion.- Exploring the Chaotic Dynamics of Cocirculating Disease Strains:Toward Agent-Based Modeling.- Dynamics of a Hydropower Rotor supported by an Elastic Generator-Bearing Bracket.- Chaos in hydrodynamic system with delay.- Defining ontologies within the FDB model.- Investigation the effect of moment on processes near the surface of a crystalline body based on a micromodel.- Anomalous scaling under the influence of helicity and finite-time correlations in the Kazantsev-Kraichnan model of fully developed kinematic magnetohydrodynamic turbulence.- SIR and SIS Epidemic Dynamics in Random Contact Networks.- Effects of nonlinear magnetic forces on the dynamics of hydropower generators with floating rotor rim.- Core expansion and spiral breakup in oscillatory recovering media.- Optimization of the Management of the Quality of Living Environment using the Chaotic Approach.- Dynamics of a Cournot Game with Differentiated Goods and Asymmetric Information.- Attractor Coexistence, Butterfly Effects, and Chaos (ABC):A Review of Lorenz and Generalized Lorenz Models.- Invariant Boltzmann Statistical Mechanics and the Physical Foundations of Quantum Mechanics, Quantum Gravity, and Quantum Cosmology.- Weak Chaos in the Plasma of a Fusion Device.- Chaos in the f0 SFS Josephson junction.- A Fisher Information Perspective of Relativistic Quantum Mechanics.- Temporal Divergence of C. elegans Locomotion.- Predicting high frequency prices: new evidence from the E-mini S&P 500 futures market.

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